- Atomic record contains multiple ImportRequest and
ImportValueRequest, plus ability to Clear individual requests.
- adds http handlers for importing AtomicRecord.
- rbf had races around the new rootRecords cache in tx
- rbf tx needed a write lock on the db now that rootRecords are written
- added a global registry for rbfDB to correctly dedup instances
- implement DeleteFragment, DeleteIndex for rbf
- use badger style keys for rbf to allow content checksumming to be list
containers in the same order
- lots of other integration of rbf into pilosa layer.
a) All tests green under -race for both PILOSA_TXSRC=roaring and PILOSA_TXSRC=badger.
b) Distinct is merged back into mainline pilosa.
Seebs notes on the Distinct work:
merge Distinct plugin back into main source tree, convert to Tx
We drop all references to the Preemptively Deprecated Don't You Dare
Use This extension interface, and move the one and only extension we had
(Distinct) into the main executor.
Also this fixes an arguable bug, which is that Container.AsBitmap()
would panic on a nil parameter, but it should have returned an empty
bitmap, because a nil *Ccontainer is a valid empty container. This
simplifies logic significantly in Distinct.
Fixes#569#570#571#572#573#584#585
- all tests green on RoaringTx
- RoaringTx on by default
- blueGreenTx testing framework available for A-vs-B comparison
of Tx implementations
- flag -tx added to server command line but not wired to
change NewIndex() selection yet.
- 918 green tests, 14 tests red on BadgerTx.
A full list of the 14 red tests on BadgerTx follows.
Note that these red tests represent not defects in BadgerDB
or BadgerTx but rather failures of the pre-existing pilosa infrastructure to yet
be fully adapted from files to using a transactional storage engine.
As such these are tests that RBF should not be expected to
pass yet either.
Fixing the pilosa infrastructure to allow these tests
to go green under Badger is the next and highest priority
order of business, but RBF can get much testing benefit
from the 918 green tests we do have, and hence we merge
as much as we have today.
The 14 red tests when NewIndex() is set to use
BadgerTx are as follows. Note in particular
that pilosa cluster resizing is not working yet under a
transactional store.
TestCluster_ResizeStates/Multiple_nodes,_with_data
TestImportClearRestart/0MaxOpN10000
TestImportClearRestart/1MaxOpN10000
TestImportClearRestart/2MaxOpN10000
TestImportClearRestart/3MaxOpN10000
TestExecutor_Execute_Existence/Row
TestExecutor_ForeignIndex
TestExecutor_Execute_CountDistinct/Distinct
TestExecutor_Execute_CountDistinct/Count(Distinct)
TestExecutor_Execute_CountDistinct/GroupBy(Distinct)
TestExecutor_BareDistinct
TestExecutor_Execute_TopNDistinct/TopN
TestHolderSyncer_IntField/BasicSync
TestHolderSyncer_IntField/MultiShard
This is sort of large, but it's annoyingly difficult to
separate out.
The basic idea is to allow us to have a single holder-iterating
block of code, which is associated with the holder, that can be used
for various things, like the snapshot queue background scan, or
for inspect operations.
We invent the concept of a HolderFilter, which is a thing that
can decide what things in a holder it cares about, and a HolderOperator,
which can also process those things selectively.
In the process, we fix up a couple of subtle bugs in the
inspect logic; specifically, the assumption that the mapped flag could
tell you whether a container was modified by the ops log doesn't
work with mmap, so we have a shiny new flag which is used to track
that, internal to the roaring/container code.
All of this leads to the actual *point* of this exercise, which is
making it easier to create an /inspect endpoint which produces almost
the same data we'd have gotten from `pilosa inspect` on a data directory;
the distinction is that it doesn't try to identify the distinction
between data from disk and data from operations since the file was
loaded. Possibly it should, but it doesn't yet.
The snapshot queue is now implemented using the HolderOperator
design, which requires some subtle changes to how it works, but
overall makes it easier to follow the snapshot queue logic,
and also shares that logic with the way Inspect works.
The holder's snapshot queue is now provided by the server, in
a default environment.
The queueless snapshot queue no longer triggers snapshots on
enqueue -- it turns out that breaks badly, because a key
point about enqueueing a snapshot is that it's safe to do it
*during* a transaction on that fragment, and triggering a
snapshot during a transaction actually causes horrible errors
as the ops log ends up being the old file, which we close.
Related to this, we also need to prevent closed fragments from
trying to snapshot, so we track fragment openness when opening
or closing, and bail on trying to snapshot a fragment which is closed.
We also stop using the queueless snapshot queue during tests,
because that's a horrible idea.
We copy a little bit of the partition logic from the cluster code so
we don't have to expose it all, this lets us check whether the node
we're looking at is the one which should be primary for a given shard,
and if not, identify which node would be. This works only when
pointed at a data directory, for now.
The test cases for the holder have to be internal, because pilosa
doesn't export view/fragment, just Index/Field. This means that the
holder test cases can't just use the test/* package, so they duplicate
some of its logic, approximately.
I think this will improve the transaction response messages Kuba
mentioned where it was an empty transaction instead of a nil or not
there... if not it should make it easier to do that anyhow.
also adds a "noSleep" option to the server command to avoid the 5
second sleep we introduced on startup for non-coordinator cluster
nodes. The sleep doesn't seem to be needed in the tests and makes them
much slower.
This commit adds `TranslationSources` to the cluster
`ResizeInstruction`. These are the sources of translation
partitions which the receiving node needs in order to support
partition distribution in the new, resized cluster.
This also fixes a bug where index options were not being
encode in the proto Index object. That meant that the schema
transferred via protobuf was not correct. The reason why
things normally worked is because index creation typically
happens on the CreateIndex message, which does include the
options.
TODO:
- [ ] implement the TranslateStore interface for `InMemTranslateStore`
and `mock.TranslateStore`
- [ ] surely need some more tests around the `ReadFrom` and `WriteTo`
This PR adds support for anti-entropy syncing for integer
and decimal fields. It differs from the logic for other
field types in that it does not rely on a consensus to determine
what the value should be; instead, it considers the correct
values to be those of the primary replica. From there, data
is pushed to all non-primary replicas.
For Fields with ForeignIndex (which have keys), the API was missing
the logic to do that translation against the translateStore of
the foreign index. This commit adds that logic, as well as some
missing translateStore-related logic in the gRPC code.
In the `Inspect` function in `server/grpc.go`, getting
the value of an `int` field with a foreign index to
an index with `Keys()`, we need to return the string
key value instead of the BSI int value for the field.
This commit also changes the method `Field.keys()` to be
exported as `Field.Keys()` so that it's accessible in
the server package.
This commit changes the order of FieldOption application so that
it's always set before field.Open() is called.
This was required because field.Open() now uses some of the values
from FieldOptions to determine if/when to use a particular
translateStore. For example, when FieldOptions.ForeignIndex is set,
the translateStore from the foreign index is retrieved during
field.Open().
This allows a BSI field to have an option indicating
that it is a foreign key to another index. If the foreign
index has column keys, then this field handles string values
by using the foreign index's translate store.
So in some cases, when we do a query, the results of one
part of the query are innately shared-across-nodes; for
instance, a hypothetical Distinct query. More generally,
we allow cross-index queries; calls can have "index=foo"
in them.
This patch lets us handle that without duplicating that
query all over. Before we actually start doing the
separate calls, we run the query once from the coordinating
node, then patch the results in, and send relevant subsets
over to each client, etcetera. Also provides slightly
friendlier (and I hope faster) support for converting
bitmaps to/from sets of rows.
We also add an extension interface, and some fancy stuff
to let us define new calls, which use this. They're sort
of tied together because the first extension I wanted to
implement needed precomputed calls. The extension API
lets us create extensions using `pkg/plugin` (with all its
associated limitations, unfortunately), then query them
at load time for functionality.
This also implies some revamping of the argument
validation for PQL, like verifying that functions exist
and knowing things about their argument types.
So basically this is an overly intrusive patch, and would
be better as separate patches, but they're hard to detangle.
add trivial execution-time profiling
What if you could ?profile=true on a query and get some
numbers back? That'd be really cool.
We already have tracing/spans, but right now, those only generate
any data if you have something set up for them to trace to. Add a
fancy wrapper that lets us generate our own tracing data, and dump
it into the request response, if ?profile=true.
add a sample extension, add missing features to extension interface
Implement a naive probabilistic filter extension as an example of
what an extension looks like. In the process, discover multiple
omissions in the bitmap API. Well, I did *say* it was experimental.
This commit adds a Decimal field type which is implemented mostly with
the Int field. It adds an optional "Scale" value to the Int field
which means that the values stored in that field are actually meant to
be divided by 10^Scale before being interpreted.
In order to make use of this functionality, we extend the importValue
request to allow a slice of floats rather than just int64. If the
slice of floats is present, each float in the slice is multiplied by
10^Scale and converted to an int64 before being imported. If a slice
of int64 is imported to a Decimal field, it is treated normally, and
scale is ignored. This allows the conversion to be handled at the
client side if desired.
Currently there are Field level methods for querying Float values out
of a decimal field, but no support in PQL or the executor for getting
float values. Going to wait until I can use the generic result type
before doing that, so for now, any values queried will be the scaled
integer values.
needed to add client support for importing float values, and did this
by adding a more general and simplified client method for value
imports.
rewrote api.ImportValue to use the new method which should be more
performant and efficient.
allow floats to be "pilosa import"ed into decimal fields
